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help for postrri
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Posterior Relative Risk

    postrri , prior(#lb #ub) data(#rr #lb #ub) [ level(#) lprior(#)
              ldata(#) format(%fmt) ]

Description

    postrri provides an easy way to do Bayesian analyses via
          inverse-variance (information) weighted averaging of the
          prior with the frequentist relative risk.  It is an
          immediate command, see help immed.
 
Options

    prior(#lb #ub) specifies the confidence limits for the prior relative
        risk.

    data(#rr #lb #ub) specifies the frequentist relative risk and confidence
        limits for the data.

    level(#) specifies the confidence level for the posterior relative risk.
        The default is 95%.

    lprior(#) specifies the probability for the Bayesian interval.  The
        default is 95%.

    ldata(#) specifies the confidence level for the frequentist interval.
        The default is 95%.

    format(%fmt) specifies the display format for presenting numbers.
        format(%3.2f) is the default; see help format.

Examples

    . postrri , prior(0.25 4) data(3.51 .80 15.4) 
    . postrri , prior(0.25 4) data(3.51 .80 15.4)  l(90)
    . postrri , prior(0.25 4) data(3.51 .80 15.4)  l(99)
    . postrri , prior(0.25 4) data(3.51 .80 15.4)  f(%4.3f)
    . postrri , prior(0.25 4) data(1.69 1.28 2.23)

Reference

    Greenland S. (2006) Bayesian perspectives for epidemiologic research. I.
        Foundations and basic methods., International Journal of
        Epidemiology, 35:765-775.
         
Authors

    Nicola Orsini, Division of Nutritional Epidemiology, Institute of
        Environmental Medicine, Karolinska Institutet, Sweden.
    Rino Bellocco, Department of Medical Epidemiology and Biostatistics,
        Karolinska Institutet, Stockholm, Sweden, and Department of
        Statistics, University of Milano Bicocca, Milan, Italy.
    Sander Greenland, Departments of Epidemiology and Statistics, University
        of California, Los Angeles, CA, U.S.A.
 
Support

    http://nicolaorsini.altervista.org
    nicola.orsini@ki.se